White Label & Embedded Analytics
Embed an AI data chatbot in your product
BlazeSQL is an AI data chatbot you can white label and embed inside your SaaS product. Instead of waiting on custom reports or clicking through dashboards, your customers just ask their question and get the answer in seconds.
Trusted by SaaS teams shipping embedded analytics under their own brand
Replace ad hoc reports with embedded analytics your customers can talk to
Most SaaS products still push customers into a workflow that doesn't scale: request custom reports from the vendor, click through pre-built dashboards, or export CSVs into spreadsheets to finish the analysis.
With embedded analytics powered by BlazeSQL, your customers ask their questions directly inside your product and get answers in seconds. That removes the reporting bottleneck for your team and makes your product feel meaningfully smarter.
Add a visible AI capability to your roadmap and sales narrative.
Offer embedded analytics as a paid upgrade instead of treating reporting as pure support cost.
Launch on BlazeSQL's white label theming, AI chat, and permissioning instead of building every layer in-house.
Turn white label analytics into a product line you can sell
White label embedded analytics isn't just an internal time-saver. It gives you a real AI surface inside your product that you can brand, package, and upsell as a premium tier.
If buyers increasingly expect AI functionality, you can meet that expectation in weeks instead of spending months building your own embedded analytics stack from scratch.
Control access at the user, database, and row level
Embedded analytics is only safe if every customer sees their data and only their data. BlazeSQL gives you API-driven user management plus row-level access controls so you can expose analytics inside multi-tenant, customer-facing workflows with confidence.
Create or update users from your backend, define which databases each user can access, and assign row access filter IDs so results are scoped to the accounts, regions, companies, or tenants that user is allowed to see.
Database access
Row access filter IDs
Perfect for customer-specific data visibility in shared environments.
Self-learning AI, without manual setup
BlazeSQL automatically extracts your database structure, and can start querying for your technical staff immediately, with no manual setup work. It automatically learns from feedback, and measures its own accuracy so you can reliably onboard your non-technical teams.
Easily create personal dashboards
Add data insights to a dashboard from the AI Chat instantly. Everyone can drag and drop to create dashboards tailored to their unique needs.
Launch Flow
Ship white label embedded analytics in three straightforward steps
BlazeSQL's documentation already covers the full integration flow. Most teams keep the implementation server-side and drop the returned session URL into the product UI they already own.
White label the experience
Use the theme editor to set your brand colors, logo, and appearance so the embedded analytics feel native to your product.
Generate a per-user session URL
Call /user_authentication_api from your backend with your API key and the end user's email.
Embed it in your app
Drop the returned authenticated URL into an iframe and keep your API key off the client.
Helpful docs: Embedding & White Labeling, User Management, Row Level Access Controls.
Keep authentication and permissions under your control
Generate authenticated session links on your server, keep API keys off the client, manage who can access which databases, and apply row-level restrictions per tenant. Ship embedded analytics in your product without giving up control over access or data isolation.
BlazeSQL helps SaaS teams remove the ad-hoc reporting bottleneck
I use Blaze daily. It has allowed me to scale our BI function and service the entire business without any additional resources. By putting Blaze in the hands of other business users, we've eliminated BI as a bottleneck, enabling teams to get the insights they need faster than ever, and making data part of our everyday thinking and decision making.
Kyle Webb
Head of BI // Kudosity
Blaze has transferred a lot of the debugging and diagnosis off our hands. It gives our onboarding and integrations teams, who are non-technical or semi-technical, the ability to troubleshoot independently. If I had to rank our tools by raw minutes saved, the non-technical user finding debuggability through Blaze is number one.
Arjun Kannan
Co-Founder // Residesk
Blaze saves our team hours of manual work each week by automating the process of writing the queries we use to analyze our business. It unlocks a new level of analysis, filling in our SQL knowledge gaps and writing complex queries that enable us to dig deeper into our data than ever before.
Brady Caspar
CTO // hoo.be
Supporting the most popular databases
Frequently Asked Questions
The standard flow is: white label the embedded chat in BlazeSQL's theme editor, generate a user-specific session URL on your server with the authentication API, and place that URL inside an iframe in your product. BlazeSQL also recommends adding allow="clipboard-read; clipboard-write" to the iframe.
Yes. The /user_authentication_api endpoint creates a login session link for a specific user and supports options like hide_sidebar. Generate it server-side with your API key and the user's email, then pass the returned URL to your frontend.
Yes. BlazeSQL exposes user creation, update, deletion, and retrieval endpoints. You can provision database access per user, update roles, and automate account lifecycle management from your own backend or admin workflows.
Yes. You can grant access at the database level and apply row-level access controls. BlazeSQL lets you configure row access columns per table and assign one or more row access filter IDs to a user so results are scoped to the records that person should see, which is essential for multi-tenant embedded analytics.
No. Keep the API key on your server. BlazeSQL's documentation explicitly recommends generating the authenticated URL server-side and then passing only the returned session URL to the client for embedding.
No. For most teams the integration is light: white label the theme, call one authentication endpoint from your backend, and embed the returned session URL in an iframe. You get a working white label embedded analytics experience without building your own chat, query engine, permissions layer, or reporting workflow from scratch.